RESEARCH: INFLUENZA
FOLDING PROJECT #18484 PROFILE

PROJECT TEAM

Manager(s): Dylan Novack
Institution: Temple University
Project URL: View Project Website

WORK UNIT INFO

Atoms: 93,430
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

Miniproteins are tiny proteins designed to fight diseases. Scientists want to understand how these miniproteins bind to viruses, like the flu. They're using computer simulations to see how changing a miniprotein's structure affects its ability to grab onto the virus. This research could lead to better ways to design and improve miniprotein drugs.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

Designed miniproteins are a class of biomolecules with intermediate sizes—larger than small-molecule drugs, but smaller than monoclonal antibodies.

Miniproteins can be computationally designed to tightly bind protein targets for use as potential therapeutics, a promising new avenue for treating infectious disease. Hemagglutinin is a viral fusion protein that allows H1 influenza A (HA) to bind sialic acid on cell surfaces, as well as being involved in the post-endocytosis mechanism of cellular infection.

The Baker lab at University of Washington has developed de novo designed miniproteins that bind hemagglutinin, and improved their binding through affinity maturation (Chevalier et al.

2017).

Many of the mutations seen in affinity-matured sequences are not found in the binding interface, and it remains an open question how these changes lead to higher affinity.

Furthermore, many of the computational predictions of how single-point mutations affect binding deviate significantly from the experimentally determined values. Could all-atom molecular simulation approaches achieve more accurate predictions? In this set of simulations, we aim to use massively parallel expanded ensemble simulations to predict mutational effects on affinities to hemagglutinin.

By pairing these simulations with other simulations aimed at modeling the binding reactions of these miniproteins to hemagglutinin, we aim to have a relatively complete picture of a miniprotein-target binding reaction and how mutations affect it.

These studies are a large-scale investigation on how miniprotein binding reactions work in atomic detail, towards a better understanding of computational design and modulation of miniprotein therapeutics.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

Miniproteins

Small proteins with therapeutic potential.

Scientific: Pharmaceutical
Biotechnology / Drug Design

Miniproteins are engineered proteins smaller than antibodies but larger than small-molecule drugs. They can bind to specific targets in the body, making them promising for treating diseases.


Hemagglutinin

A viral protein that allows influenza A to bind to cells.

Scientific: Biopharmaceutical
Virology / Influenza

Hemagglutinin is a protein found on the surface of the influenza virus. It helps the virus attach to and enter cells by binding to sialic acid molecules on cell surfaces.


Affinity Maturation

Process of increasing the binding strength of a molecule.

Scientific: Pharmaceutical
Biotechnology / Protein Engineering

Affinity maturation is a technique used to improve the ability of proteins or antibodies to bind to their target molecules. This involves making small changes to the protein's structure through genetic mutations and selecting for those with higher binding affinity.


Molecular Simulation

Using computer models to simulate molecular interactions.

Scientific: Research & Development
Biochemistry / Computational Biology

Molecular simulations are computer programs that mimic the behavior of molecules and atoms. They allow researchers to study how molecules interact with each other and their environment, providing insights into biological processes.


Expanded Ensemble Simulations

A type of simulation that explores multiple energy states.

Scientific: Biotechnology
Computational Biology / Molecular Dynamics

Expanded ensemble simulations are a powerful technique used in molecular dynamics to explore a wider range of possible configurations for a system. This helps researchers to better understand complex phenomena and predict the behavior of molecules under different conditions.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:13
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:13
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 EPYC 7B12 64-CORE 64 17,696 1,132,544 AMD
2 RYZEN 9 7950X 16-CORE 32 22,592 722,944 AMD
3 RYZEN 7 7700X 8-CORE 16 38,893 622,288 AMD
4 12TH GEN CORE I9-12900K 24 23,125 555,000 Intel
5 RYZEN 9 5950X 16-CORE 32 14,166 453,312 AMD
6 12TH GEN CORE I7-12700K 20 21,492 429,840 Intel
7 RYZEN 9 5900X 12-CORE 24 16,852 404,448 AMD
8 RYZEN 7 5800X 8-CORE 16 23,366 373,856 AMD
9 RYZEN 7 5700X 8-CORE 16 20,975 335,600 AMD
10 RYZEN 9 3900X 12-CORE 24 13,420 322,080 AMD
11 RYZEN 7 5700G 16 18,949 303,184 AMD
12 XEON PLATINUM 8370C CPU @ 2.80GHZ 16 17,278 276,448 Intel
13 CORE I7-10700K CPU @ 3.80GHZ 16 15,998 255,968 Intel
14 12TH GEN CORE I7-12700 20 12,626 252,520 Intel
15 11TH GEN CORE I9-11900K @ 3.50GHZ 16 11,728 187,648 Intel
16 RYZEN 7 3700X 8-CORE 16 9,820 157,120 AMD
17 EPYC 7262 8-CORE 16 8,760 140,160 AMD
18 11TH GEN CORE I7-11700F @ 2.50GHZ 16 7,571 121,136 Intel
19 12TH GEN CORE I7-12700H 20 5,475 109,500 Intel
20 CORE I7-10700T CPU @ 2.00GHZ 16 5,412 86,592 Intel